Mac15,13
Geekbench AI Score
4115
Single Precision Score
31423
Half Precision Score
35233
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IKUN114514 |
| Upload Date | July 20 2025 09:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
17670
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20326
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22047
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26679
432.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8836
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121509
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121063
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
18506
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20869
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39889
474.0 IPS |
|
|
Face Detection (Q)
|
100% |
52547
624.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98272
757.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124264
971.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22361
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230392
296.2 IPS |
|
|
Style Transfer (Q)
|
96% |
221756
286.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47968
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57512
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5379
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4816
83.2 IPS |
